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Effect of relative humidity on shear modulus of particleboard. The effect of relative humidity on the shear modulus of particleboard was presented in the paper. Panel specimens were conditioned at 55, 65, 75, 85 and 95% RH. The moisture content and shear modulus of particleboard were determined on these specimens by the twisted square piate method. The relationships between the shear modulus and the moisture content of particleboard and relative humidity were defined.
Electrical properties of food materials can give information about the inner structure and physiological state of biological tissues. Generally, the process of drying of fruits and vegetables is followed by weight loss. The aim of this study was to measure the impedance spectra of carrot slices during drying and to correlate impedance parameters to moisture content in different drying periods. Cylindrical slices were cut out from the carrot root along the axis. The slices were dried in a Venticell 111 air oven at 50°C. The weight of the slices was measured with a DenverSI-603 electronic analytical and precision balance. The weighing of the samples was performed every 30 min at the beginning of drying and every 60 min after the process. The moisture content of the samples was calculated on wet basis. The magnitude and phase angle of electrical impedance of the slices were mea-sured with HP 4284A and 4285A precision LCR meters in thefrequency range from 30 Hz to 1 MHz and from 75 kHz to 30 MHz,respectively, at voltage 1 V. The impedance measurement was per-formed after weighting. The change in the magnitude of impe-dance during drying showed a good correlation with the change in the moisture content.
Moisture content uniformity is one of critical parameters to evaluate the quality of dried products and the drying technique. The potential of the hyperspectral imaging technique for evaluating the moisture content uniformity of maize kernels during the drying process was investigated. Predicting models were established using the partial least squares regression method. Two methods, using the prediction value of moisture content to calculate the uniformity (indirect) and predicting the moisture content uniformity directly, were investigated. Better prediction results were achieved using the direct method (with correlation coefficients RP = 0.848 and root-mean-square error of prediction RMSEP = 2.73) than the indirect method (RP = 0.521 and RMSEP = 10.96). The hyperspectral imaging technique showed significant potential in evaluating moisture content uniformity of maize kernels during the drying process.
The paper presents results concerning textural parameters (hardness, cohesion, elasticity and chewing ability) and moisture content of half-short cake after different levels of sugar addition. The sensory assessment was conducted as well. The results of the study enable determining the optimum sugar addition.
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